Instructions to use nchervyakov/super-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nchervyakov/super-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nchervyakov/super-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nchervyakov/super-model") model = AutoModelForSequenceClassification.from_pretrained("nchervyakov/super-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
upload flax model
6f91717 -
allow flax
56f4c10
-
First version of my model
39393e5 -
Add README.md
7d655a4 -
initial commit
a3912d0